Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference
网络合成干预:网络干扰下的面板数据因果框架
We propose a generalization of the synthetic controls and synthetic interventions methodology to incorporate network interference. We consider the estimation of unit-specific potential outcomes from panel data in the presence of spillover across units and unobserved confounding. Key to our approach is a novel latent factor model that takes into account network interference and generalizes the factor models typically used in panel data settings. We propose an estimator,…